New PDF release: Artificial Neural Networks for Computer Vision

By Yi-Tong Zhou

ISBN-10: 0387976833

ISBN-13: 9780387976839

ISBN-10: 1461228344

ISBN-13: 9781461228349

This monograph is an outgrowth of the authors' fresh examine at the de­ velopment of algorithms for a number of low-level imaginative and prescient difficulties utilizing man made neural networks. particular difficulties thought of are static and movement stereo, computation of optical circulation, and deblurring a picture. From a mathematical viewpoint, those inverse difficulties are ill-posed in keeping with Hadamard. Researchers in computing device imaginative and prescient have taken the "regularization" method of those difficulties, the place one comes up with a suitable strength or price functionality and unearths a minimal. extra constraints akin to smoothness, integrability of surfaces, and upkeep of discontinuities are additional to the fee functionality explicitly or implicitly. counting on the character of the inver­ sion to be played and the limitations, the associated fee functionality may show numerous minima. Optimization of such nonconvex services may be very concerned. even if development has been made in making innovations equivalent to simulated annealing computationally extra average, it truly is our view that you'll frequently locate passable ideas utilizing deterministic optimization algorithms.

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Extra resources for Artificial Neural Networks for Computer Vision

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L_1I Lo, L1I L 2 , ••• } are then obtained at {... , (xo, YL-l)' (xo, YLo), (xo, YL1)' (xo, YL2)' ... }. The original points {... , P- 1I Po, PI, P2 , ••• } corresponding to these sample points are located at {... , {Xo, Y-1I Z-d, (Xo, Yo, Zo), {Xo, Y1I Zt}, (Xo, Y2, Z2), ... } on the object surface. These original points also project into the right image plane at {... , (xo, YR-l)' (XRo' YRo), {xo, YRJ, (xo, YR2)' ... }. When the object surface is not parallel to the image plane, the original object points are not equally-spaced on the surface.

The constraint imposed on the camera configuration is to restrict the search within the horizontal direction, the so-called epipolar constraint. We also assume that 4. Motion Stereo-Lateral Motion 47 the camera takes pictures exactly every t seconds apart such that all images are equally separated, so each successive image pair has the same baseline. Let OXYZ be the space coordinate system with the Z axis aligned with the camera optical axis and 0iXiYi be the ith image plane coordinate system. The origin of the ith image system is located at (0, -(i - l)vt, f) of the space system, where v is the velocity of camera, vt is the distance between two successive images and !

On the object surface. These original points also project into the right image plane at {... , (xo, YR-l)' (XRo' YRo), {xo, YRJ, (xo, YR2)' ... }. When the object surface is not parallel to the image plane, the original object points are not equally-spaced on the surface. The corresponding right image points are not equally-spaced either. Hence, not all the corresponding right image points are sample points. 5. 5) and the other image points do not match the sample points. 21) 3. Static Stereo 25 250 .

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Artificial Neural Networks for Computer Vision by Yi-Tong Zhou


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